The Impacts Of Lake-Effect Snow On Traffic Volume In Ohio And Indiana, 2011-2015
2017
- 91Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage91
- Downloads65
- Abstract Views26
Thesis / Dissertation Description
Snowfall presents a hazard to drivers by reducing visibility and increasing safe stopping distances. As a result, some drivers cancel trips if snowfall is occurring or forecasted, and traffic volumes often decrease on snowy days. Lake-effect snow is very localized and is thus hypothesized to have a lesser influence on traffic volume than synoptic-scale snow, which usually covers a broader areal extent. Traffic volume in northeast Ohio and northern Indiana is studied using a matched-pair analysis to determine if volumes differ between lake-effect and synoptic-scale snowfall in these regions. While little statistical evidence is found to support this hypothesis, other relationships are discovered: lake-effect traffic volume is shown to be dependent in part on distance from the lake and population density of the surrounding area. Other trends relating traffic volume to time-of-day and accident patterns are also explored. Findings presented herein can assist in transportation planning, risk analysis, and roadway safety.
Bibliographic Details
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